Feasibility of predicting maximal oxygen uptake by using the efficiency factor in healthy men

Abstract

Conventionally, efficiency is indirectly estimated through a respiratory gas analyser (oxygen, carbon dioxide), which is a complex and rather costly calculation method that is difficult to perform in many situations. Therefore, the present study proposed a modified definition of efficiency, called the efficiency factor (EF) (i.e., the ratio of work to the corresponding exercise intensity), and evaluated the relation between the EF and maximal oxygen uptake ($${\dot{\text{V}}\text{O}}_{2\max }$$ V ˙ O 2 max ), as well as compared the prediction models established based on the EF. The heart rate (maximal heart rate: 186 ± 6 beats min−1), rating of perceived exertion (19 ± 1), and $${\dot{\text{V}}\text{O}}_{2\max }$$ V ˙ O 2 max (39.0 ± 7.1 mL kg−1 min−1) of 150 healthy men (age: 20 ± 2 years; height: 175.0 ± 6.0 cm; weight: 73.6 ± 10.7 kg; body mass index [BMI]: 24.0 ± 3.0 kg m−2; percent body fat [PBF]: 17.0 ± 5.7%) were measured during the cardiopulmonary exercise test (CPET). Through multiple linear regression analysis, we established the BMI model using age and BMI as parameters. Additionally, we created the PBF modelHRR utilizing weight, PBF, and heart rate reserve (HRR) and developed PBF modelEF6 and PBF modelEF7 by incorporating EF6 from the exercise stage 6 and EF7 from the exercise stage 7 during the CPET, respectively. EF6 (r = 0.32, p = 0.001) and EF7 (r = 0.31, p = 0.002) were significantly related to $${\dot{\text{V}}\text{O}}_{2\max }$$ V ˙ O 2 max . Among the models, the PBF modelEF6 showed the highest accuracy, which could explain 62.6% of the variance in the $${\dot{\text{V}}\text{O}}_{2\max }$$ V ˙ O 2 max at with a standard error of estimate (SEE) of 4.39 mL kg−1 min−1 (%SEE = 11.25%, p < 0.001). These results indicated that the EF is a significant predictor of $${\dot{\text{V}}\text{O}}_{2\max }$$ V ˙ O 2 max , and compared to the other models, the PBF modelEF6 is the best model for estimating $${\dot{\text{V}}\text{O}}_{2\max }$$ V ˙ O 2 max .

Estimation of peak oxygen consumption in individuals with spinal cord injury patients using multiple linear regression analysis: a preliminary study

“…Wier et al [ 26 ] reported that an equation for estimating VO 2 peak in the general adult population, using variables such as waist circumference, body fat percentage, and BMI, showed R values of approximately 0.80–0.82, R 2 values of 0.62 and 0.55, and an SEE of approximately 4.72–4.90. Additionally, Li et al [ 27 ] found that an equation estimated using weight, BMI, and body fat percentage in young adults had an explanatory power of 62.6% and SEE of 4.39. A recent study by Lee et al [ 15 ] estimated the VO 2 peak in male patients with SCI using age and height.…”